JSONToTable

CSV to SQL Converter

Convert CSV data to SQL INSERT statements with automatic table creation

CSV Input

SQL Output

SQL output will appear here

Paste CSV data to generate SQL statements

How to Convert CSV to SQL - Step by Step Guide

Step 1

Prepare Your CSV Data

Start with your CSV data that needs to be converted to SQL INSERT statements. Ensure your data is properly formatted:

•
Header row: First row should contain column names that will become SQL column names
•
Clean data: Ensure data types are consistent and handle special characters properly
•
Valid format: Use standard CSV format with proper delimiters and quoting
Step 2

Configure SQL Settings

Customize the SQL generation settings to match your database requirements:

•
Table name: Specify the target table name for your INSERT statements
•
Data types: Choose appropriate SQL data types for each column
•
SQL dialect: Select your database type (MySQL, PostgreSQL, SQL Server, etc.)
Step 3

Generate SQL Statements

Convert your CSV data to SQL INSERT statements ready for database execution:

•
CREATE TABLE statement: Automatically generate table creation SQL with proper data types
•
INSERT statements: Generate properly formatted INSERT statements for all rows
•
Copy or download: Copy SQL to clipboard or download as .sql file

Example: Converting Customer Data to SQL

Let's say you have customer data in CSV format:

id,name,email,city,signup_date
1,John Smith,john@email.com,New York,2024-01-15
2,Sarah Johnson,sarah@email.com,Los Angeles,2024-01-16
3,Mike Davis,mike@email.com,Chicago,2024-01-17

After conversion, you'll get SQL statements like this:

CREATE TABLE customers (
  id INT PRIMARY KEY,
  name VARCHAR(255),
  email VARCHAR(255),
  city VARCHAR(255),
  signup_date DATE
);

INSERT INTO customers (id, name, email, city, signup_date) VALUES
(1, 'John Smith', 'john@email.com', 'New York', '2024-01-15'),
(2, 'Sarah Johnson', 'sarah@email.com', 'Los Angeles', '2024-01-16'),
(3, 'Mike Davis', 'mike@email.com', 'Chicago', '2024-01-17');

Frequently Asked Questions

Which SQL databases are supported?

The tool generates standard SQL that works with MySQL, PostgreSQL, SQL Server, SQLite, Oracle, and most other SQL databases. You can also customize the output for specific database dialects.

How are data types determined?

The tool automatically analyzes your data to suggest appropriate SQL data types (VARCHAR, INT, DATE, etc.). You can also manually specify data types for each column to ensure accuracy.

Can I handle special characters and quotes in my data?

Yes! The tool automatically escapes special characters, quotes, and SQL reserved words to prevent syntax errors. Your data is properly sanitized for safe database insertion.

What if my CSV has thousands of rows?

The tool can handle large CSV files efficiently. For very large datasets, it can generate batch INSERT statements or break the output into multiple files to optimize database performance.

Is the CSV to SQL conversion free?

Yes, completely free with no limitations on file size, number of rows, or conversion frequency. No registration required, and you can convert unlimited CSV files to SQL format at no cost.